"package", "org.apache.maven.plugins:maven-jar-plugin:" + JAR_PLUGIN_VERSION + ":jar",
        "install", "org.apache.maven.plugins:maven-install-plugin:" + INSTALL_PLUGIN_VERSION + ":install",
        "deploy", "org.apache.maven.plugins:maven-deploy-plugin:" + DEPLOY_PLUGIN_VERSION + ":deploy"
    };
    // END SNIPPET: jar

    @Inject

        "package", "org.apache.maven.plugins:maven-war-plugin:" + WAR_PLUGIN_VERSION + ":war",
        "install", "org.apache.maven.plugins:maven-install-plugin:" + INSTALL_PLUGIN_VERSION + ":install",
        "deploy", "org.apache.maven.plugins:maven-deploy-plugin:" + DEPLOY_PLUGIN_VERSION + ":deploy"
    };
    // END SNIPPET: war

    @Inject

        "package", "org.apache.maven.plugins:maven-ear-plugin:" + EAR_PLUGIN_VERSION + ":ear",
        "install", "org.apache.maven.plugins:maven-install-plugin:" + INSTALL_PLUGIN_VERSION + ":install",
        "deploy", "org.apache.maven.plugins:maven-deploy-plugin:" + DEPLOY_PLUGIN_VERSION + ":deploy"
    };
    // END SNIPPET: ear

    @Inject

There are utilities to configure it easily that you can use directly in your **FastAPI** application (provided by Starlette).

## Install dependencies { #install-dependencies }

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and install `jinja2`:

<div class="termy">

```console
$ pip install jinja2

---> 100%
```

</div>

## Using `Jinja2Templates` { #using-jinja2templates }

## Exécuter { #run-it }

/// info

Le package [`python-multipart`](https://github.com/Kludex/python-multipart) est installé automatiquement avec **FastAPI** lorsque vous exécutez la commande `pip install "fastapi[standard]"`.

Cependant, si vous utilisez la commande `pip install fastapi`, le package `python-multipart` n'est pas inclus par défaut.

# TensorFlow C API

- See [www.tensorflow.org/install/lang_c](https://www.tensorflow.org/install/lang_c)
- Nightly builds:
  - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz)
  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)

---

## FastAPI installieren { #install-fastapi }

Der erste Schritt besteht darin, FastAPI zu installieren.

Stellen Sie sicher, dass Sie eine [virtuelle Umgebung](../virtual-environments.md) erstellen, sie aktivieren und dann **FastAPI installieren**:

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

/// note | Hinweis

Если вы не хотите иметь эти необязательные зависимости, установите просто `pip install fastapi`.

Если вы хотите установить стандартные зависимости, но без `fastapi-cloud-cli`, установите `pip install "fastapi[standard-no-fastapi-cloud-cli]"`.

You can use **Pydantic models** to declare **form fields** in FastAPI.

/// info

To use forms, first install [`python-multipart`](https://github.com/Kludex/python-multipart).

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and then install it, for example:

```console
$ pip install python-multipart
```

///

/// note

This is supported since FastAPI version `0.113.0`. 🤓

    cli_main = None  # type: ignore


def main() -> None:
    if not cli_main:  # type: ignore[truthy-function]  # ty: ignore[unused-ignore-comment]
        message = 'To use the fastapi command, please install "fastapi[standard]":\n\n\tpip install "fastapi[standard]"\n'
        print(message)
        raise RuntimeError(message)  # noqa: B904